RPA – Robotics Process Automation Trends and Statistics for 2020

RPA Robotic Process Automation XORLOGICS

 

This year, many companies found their business growth through the smart interaction between human resources and supporting software robots as the direction is set towards digitalization and automation. The combination of RPA with artificial intelligence (AI) and machine learning (ML) is playing a huge role in the global economic environment.

According to a new report by Grand View Research, Inc. the global robotic process automation market size is expected to reach USD 10.7 billion by 2027, expanding at a CAGR of 33.6% from 2020 to 2027. In addition to that, in Gartner Top 10 Strategic Technology Trends for 2020, hyper-automation, autonomous things and AI security were at the top 3.

 

RPA is a type of IT solution that allows organizations to automate many of their tasks through the use of specialized software programs. Many business executives believe that RPA enables their companies to automate structured tasks that take just a few work steps and repeat themselves frequently – like transferring data from one IT system to another. RPA can relieve employees of tasks that consume a lot of time but do little to add value and are prone to errors – keyword typing errors. It also helps to automate routine jobs on the computer and processes to increase efficiency, improve service and save costs.

 

One should not think that RPA is similar to BPM. RPA only simulates human data entry and helps with simple and recurring tasks, to save time because the software does things in parallel that an employee can only work through one after the other. Such an application needs simple rules with few exceptions – and the biggest advantage is that, unlike humans, it runs around the clock. Unlike BPM which stands for describing, contolling, modeling, and optimizing the processes that are present in an organization.

 

Here below are the statists and trends of RPA that shows it’s worth:

 

    • RPA as an industry is growing exponentially– the global robotic process automation market size is expected to reach USD 10.7 billion by 2027, expanding at a CAGR of 33.6% from 2020 to 2027 – Grand View Research

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    • The RPA industry will grow from $250 million in 2016 to $2.9 billion in 2021. This is one industry that is growing at a lightning speed. It was already worth $1.7 billion in 2018 – Forrester

 

    • RPA will achieve “near universal adoption” in the next 5 years – Deloitte

 

    • By 2025, the market for collaborative robotics is expected to reach $12 billion – MarketsAndMarkets

 

    • By 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes. Gartner

 

    • The RPA fast adoption is helping business to reduce the operational costs and enhance overall customer satisfaction, improve transparency and visibility for service functions and reduce of manual efforts – Reportlinker

 

    • 11,214 results This is the number of open positions produced by a recent search for “robotic process automation”on LinkedIn’s jobs site. Titles vary within this growing IT jobs category, but “RPA developer” (and variations of the same) is an increasingly common one – reflecting the need for IT pros who can build the bots that enable organizations to offload repetitive, time-consuming tasks – LinkedIn

 

    • RPA deals with the application of advanced technologies including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans – Gartner

 

    • RPA is offering a lot of benefits to the business by giving access to collaborative intelligence where humans and technology works side by side so that they can perform their roles optimally. As employees don’t need to perform repetitive tedious tasks, they can be educated to work with automation tools and learn the latest business and marketplace information through machine learning – Xorlogics

 

    • The market for RPA in Healthcare is driven by the increasing demand to automate claims and process management. RPA vendors are focusing on developing best-in-class intelligent process automation bots – Research and Markets

 

Big data innovation in the financial technology

Big data in banking sector

 

Did you knew that In Asia and the United States, It’s possible to calculate, within some minutes, the repayment abilities of individuals and small businesses by using their online public data, available information on their social networks and predictive control algorithm based on online data.

 

A new lending San-Francisco start-up “Affrim” founded in 2013 by co-founder of PayPal Max Levchin, helps e-commerce sites and online shoppers by giving the possibility of monthly payment for their purchases. Affrim offers affordable loans and purchasing advantage to Generetion Y, their target audience, because they use to do everything on digital platforms.

 
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Consumers and small enterprises based in the United States, China, Mexico, Colombia are already able to obtain a loan via their smartphones. “Applying for a loan using Affirm is as easy as putting in a shopper’s name, phone number, birthday and the last four digits of their social security number,” confirm Max Levchin. Thanks to big data, online credit acquisition is the second technological breakthrough after online banking.You must be wondering how does Affirm work? Well Affirm has developed a predictive algorithm which combines Big Data and machine learning based on information provided by the consumer or online information data which evaluates the applicant’s repayment capacity. By having access to all bank accounts of applicants, they are able to recover most part of data. “We’ve paid over $ 500 million and until now we haven’t had any default payment”, says Alan Cooper, head of marketing at Earnest, a startup in San Francisco since founded in 2013 specialized in low-cost lending for personal loans and refinance of student loans.

 

This is no secret that Big Data is being used in almost every sector and companies are getting full advantage out of it. Still now many companies are hesitating when it comes to implant big data, simply because they’re overwhelmed by the process of collecting the data via traditional channels, lack of analytical skills and/or unsure of what specifically they’ll be involved with. But don’t worry; Xorlogics is here to help you, with a 4 years proven experience in the field of Big Data, Cloud Computing, Web applications and Resource Augmentation.

 

Feel free to fill this form and our experience developers will contact you as soon as possible.

 

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